Target Recognition for Polarimetric HRRP Based on Fast Density Search Clustering Method
WU Jiani① CHEN Yongguang② DAI Dahai① CHEN Siwei① WANG Xuesong①
①(State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China) ②(Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China)
A classification algorithm based on the fast density search clustering method is proposed for polarimetric High Resolution Range Profile (HRRP) of man-made target. The polarization and frequency features are used to discriminate scattering centers in order to obtain the feature vectors for target classification. After that, the fast density search clustering method is applied to classifying the man-made target. The experiments show that the feature vectors for target classification can describe the structural properties of the target and can easily be classified. The fast density search clustering method operates simply and efficiently and can be applied to the man-made target classification with excellent performance.
吴佳妮,陈永光,代大海,陈思伟,王雪松. 基于快速密度搜索聚类算法的极化HRRP分类方法[J]. 电子与信息学报, 2016, 38(10): 2461-2467.
WU Jiani, CHEN Yongguang, DAI Dahai, CHEN Siwei, WANG Xuesong. Target Recognition for Polarimetric HRRP Based on Fast Density Search Clustering Method. JEIT, 2016, 38(10): 2461-2467.
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